Text Data Exploration¶
In [1]:
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import seaborn as sns
import requests
import json
import chart_studio.plotly as py
import plotly.express as px
import plotly.figure_factory as ff
Retrieve Text Data From Firebase¶
In [4]:
test_url = 'https://finalproject-42236-default-rtdb.firebaseio.com/test.json'
response = requests.get(test_url)
text_test = response.json()
test_t = pd.DataFrame.from_dict(text_test, orient='columns')
In [5]:
train_url = 'https://finalproject-42236-default-rtdb.firebaseio.com/train.json'
response = requests.get(train_url)
text_train = response.json()
train_t = pd.DataFrame.from_dict(text_train, orient='columns')
Interactive Data Visulization¶
Data Distribution¶
For training data¶
In [29]:
for col in train_t.columns:
fig = px.histogram(train_t, x=col)
fig.show()
For testing data¶
In [30]:
for col in test_t.columns:
fig = px.histogram(test_t, x=col)
fig.show()
Scatter Plot¶
For training data¶
In [6]:
sns.pairplot(train_t, hue="Group")
Out[6]:
For testing data¶
In [39]:
sns.pairplot(test_t, hue="Group")
Out[39]:
